Email this article 
Open Access
Subscription or Fee Access
Statistical Feature Extraction and Recognition of Isolated Handwritten Gujrati Characters
Abstract
Indic Script Recognition is a challenging task due to the large character sets of different patterns and constraints posed by types of handwriting, the number of writers, the size of the vocabulary and the spatial layout. Recognition of Gujarati script is a less explored area and a very little attempt is made for recognition of only subset of handwritten Gujrati characters. This paper proposes a reasonable approach to recognize a subset of isolated Gujrati Handwritten characters. The character images to be recognized undergo preprocessing operations such as resizing, conversion to binary format, noise removal etc. Then statistical features such as Euler value, Standard deviation and Euclidian distance are computed. These statistical parameters are compared with the images of stored characters for feature matching. For recognition, an evaluation was done for each letter in the learning set and efficiency of recognition was evaluated for each letter. An average overall Recognition Efficiency of 56.14 % is obtained. Recognition rate is highly affected by similarity of various characters. Analysis of characters where the recognition fails reveals that the visually similar symbols confuse the recognition system.
Keywords
References
Sameer Antani, Lalitha Agnihotri, “Gujrati Character Recognition,” in Proceedings of the Fifth International Conference on Document Analysis and Recognition, Page: 418, Year of Publication: 1999.
S K Shah and A Sharma, “Design and Implementation of Optical Character Recognition System to Recognize Gujrati Script using Template Matching”, IE(I) journal-ET Vol.86, 2006, pgs 44-49.
A. Yagnik and S.R. Mohan, “ Identification of Gujrati Characters using Wavelets and Neural Networks”, (544) Artificial Intelligence and Soft Computing-2006.
J. Dholkiya., A. Negi, S. Rama Mohan, “Zone Identification in the Printed Gujrati Text”, Proceedings of 8th ICDAR, 2005 p-272-276.
A. Desai, “Gujrati Handwritten numeral optical character recognition through neural network”, Pattern Recognition Vol. 43, 2010, pp.-2582-2589.
J. Dholakiya, A. Yagnik, S. Rama Mohan, “Wavelet Feature Based Confusion Character Sets for Gujrati Script”, ICCIMA, 2007, p-366-371.
Mahesh Jangid, “ Devnagri Isolated Character Recognition by using Statistical Features”, International Journal of Computer Science and Engineering (IJCSE), ISSN:0975-3397, Vol. No. 3, June 2011.
Sandhya Arora and Debothosh Bhattacharjee, “Combining Multiple Feature Extraction Techniques for Handwritten Devnagri Character Recognition”, in proceedings of IEEE Region 10 Colloquium and the Third ICIIS, Kharagpur, India, December 2008.
Jayashree Prasad, “Impact of Feture Selection Methods in Hierarchical clustering Technique: A Review,” in Lecture Notes in IMECS 2008, ISBN:978-988-98761-8-8.
Jayashree R. Prasad and Dr,. U.V.Kulkarni, “Template Matching Algorithm for Gujrati Script Recognition”, published in IEEE ICETET 2009 and IEEE Explore, ISBN:978-0-7695-3884-6.
Jayashree R. Prasad and Dr,. U.V.Kulkarni, “Trends in Handwriting Recognition”, published in IEEE ICETET 2010 and IEEE Explore, ISBN:978-0-7695-4246-1.
Mamta Maloo and K.V.Kale, “Supprt Vector Machine Based Gujrati Numeral Recognition”, International Journal of Computer Science and Engineering, Vol. 3, No. 7, Pgs.-2595-2600, July 2011, ISSN (Online): 0975-3397 .
Mamta Maloo and K.V.Kale, “Gujrati Script Recognition: A Review”, International Journal of Computer Science, Vol. 8, Issue 4, Pgs.-480 -488, July 2011, ISSN (Online): 1694-0814.
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.